Pivotal GemFire

Distributed Data Management Platform

Pivotal and VMware are partnering to deliver well-managed, agile and secure data and application infrastructure for VMware environments across public, private and hybrid clouds. Pivotal GemFire, formerly known as VMware vFabric GemFire, is now part of the Pivotal portfolio of products.

Pivotal GemFire is a distributed data management platform. Pivotal GemFire is designed for many diverse data management situations, but is especially useful for high-volume, latency-sensitive, mission-critical, transactional systems.

Elastic In-memory Data Management

Modern applications are web-oriented, data-intensive, and deployed in virtualized and cloud environments. Traditional databases are becoming performance bottlenecks when they can't supply the high-speed performance required, and are unable to scale elastically with demand.

Achieve unmatched performance plus database-class reliability

Pivotal GemFire’s in-memory design and unique “shared nothing” architecture eliminates single points of failure while delivering very high performance. Combining that with an equally unique disk logging algorithm, you get exceptionally high throughput for your data. Pivotal GemFire manages multiple copies of data on disk with minimal impact on performance. And thanks to the sophisticated recovery mechanism, disk or single-node failures will not compromise data consistency.

Increase developer productivity

Pivotal GemFire’s APIs and integration with the popular Spring framework combine to greatly speed and simplify the development and support of scalable, transactional enterprise applications. The Spring Data GemFire project provides specific code samples to get productive quickly.

Simplify and improve caching for Tomcat and Hibernate users

Pivotal GemFire can offload and manage HTTP session state for Apache Tomcat, Pivotal tc Server, VMware's enterprise version of Tomcat optimized for Java Spring users, and other application servers. Pivotal GemFire manages large sessions with proven high availability and scalability - an especially beneficial capability for web apps that need to scale out to meet demand. Pivotal GemFire also provides fast, scalable, and distributed second level (L2) caching for Hibernate, for dramatically superior performance and reduced network traffic.

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Pivotal GemFire is a distributed data management platform. Pivotal GemFire is designed for many diverse data management situations, but is especially useful for high-volume, latency-sensitive, mission-critical, transactional systems.

Pivotal GemFire is deployed in production serving a variety of use cases including distributed object caching, session state replication and management in Java environments, a distributed data and event management layer for Event Driven Architectures, continuous analytics, and more.

Pivotal GemFire is deployed in support of three topologies: peer-to-peer network, client-server, and wide-area network. There are three key Pivotal GemFire offerings to consider:

Suggested retail pricing for U.S. commercial editions of Pivotal GemFire available are shown below. Contact your local Reseller for specific pricing.

Note:Retail Pricing is for reference purposes only and is subject to change without notice. Pricing is suggested retail price in USD, for sales in the US. Regional prices may vary. For detailed pricing please contact a Reseller or Pivotal GemFire expert.

Pricing is perpetual and Cross Cloud (Per Core, vCPU or Amazon ECU).

Product

U.S. Suggested List Price Cross Cloud

( Per Core or vCPU or Amazon ECU)

The Client/Embedded Node

The Client/Embedded Node enables any Java, C++, or C# application to access, interact with, and register interest in data managed by a Data Management Node. Client Nodes can also be embedded within a Java application server’s process to provide HTTP session replication or Hibernate L2 object caching with eviction expiry and overflow to disk. Peer to peer connectivity is allowed when used in embedded mode ( Only for HTTP session replication or Hibernate L2 object caching.

Data Management Node is required for managing data on Server and require Client Nodes to be purchased for accessing data through clients. If an application will join the Server Cluster as a peer, it will require a data management node license. Data Management Nodes offers full server functionality and supports large numbers of clients and scalability. In addition to Java clients, Data Management Nodes also support C++ and C# clients.

Unlimited Client Upgrade is a cost effective way to meet the needs of high client topologies. Purchasing the Unlimited Client Upgrade for a each Data Management Node provides unlimited client connectivity to the GemFire Distributed System. Unlimited client upgrade needs to be purchased for all data management nodes in the cluster.